Motion data for insight, not just animation
Structured, high-fidelity human motion data for training, analysis, and simulation across physical and digital systems.
Motion as data
Cartwheel’s motion data offering treats movement as a first-class data modality. We capture, generate, and transform motion into structured, reusable datasets that can be used to train models, evaluate behavior, simulate interaction, or derive insight — independent of any specific character, animation, or render pipeline.
Because Cartwheel operates across capture, generation, and interpolation, we can produce motion datasets that are both semantically rich and structurally consistent, at a scale and fidelity that traditional motion capture pipelines cannot support.
Behavioral & social prediction
Understanding intent, affect, and non-verbal communication
Robotics training data
Human motion for learning, imitation, and interaction
Sports motion analysis
Performance, biomechanics, and movement efficiency
World & interaction models
Motion priors for simulated environments and agents
Why Cartwheel motion data is different
Structured by design
Motion is captured and generated into semantically-useful representations, not post-processed after the fact.
Semantically Controllable
Motion can be conditioned on intent, context, and style — not just physics.
Scalable without degradation
Synthetic generation and interpolation allow expansion without introducing noise typical of large capture efforts.
Cross-domain compatible
The same underlying motion representations can serve animation, robotics, and simulation use cases.
Proven in production systems
Built on the same pipelines used by studios and interactive platforms.
Flexible engagements, from single datasets to partnerships
Pre-built datasets
Curated datasets for common application areas.
Custom data programs
Targeted capture and generation aligned to specific behaviors
Ongoing data partnerships
Long-term programs supporting model training and iteration